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Researcher · University of Illinois Urbana-Champaign · United States

Thomas S. Huang

Thomas S. Huang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Advanced Image and Video Retrieval Techniques, Advanced Vision and Imaging and Image Retrieval and Classification Techniques.

ORCID 0000-0001-8474-5859 OpenAlex
World rank
#27,828
of 7,710,434 ranked researchers
Rank in United States
#10,462
of 1,627,098
Works
1,394
Citations
107k
Citations per work
76.7
h-index
143
i10-index 750Top 0.1% in Computer Vision and Pattern Recognition
Thomas S. Huang

What does Thomas S. Huang research?

Thomas S. Huang's work is mostly in Computer Science (72%), Engineering (8%).

Physical Sciences: 1,115 works · 80.0% of their workComputer Science: 1,001 works · 71.8% of their workComputer Vision and Pattern Recognition: 769 works · 55.2% of their workArtificial Intelligence: 142 works · 10.2% of their workSignal Processing: 89 works · 6.4% of their workEngineering: 114 works · 8.2% of their workMedia Technology: 50 works · 3.6% of their workAerospace Engineering: 32 works · 2.3% of their workComputational Mechanics: 32 works · 2.3% of their workEverything else: 279 works · 20.0% of their workTHEIR WORKThomas S. Huang1,394works
Physical Sciences80%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science1,00171.8%
    2. Engineering1148.2%
  2. Everything else27920.0%
  1. 1Computer Vision and Pattern Recognition55% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Signal Processing6% of their works
  4. 4Media Technology4% of their works
  5. 5Aerospace Engineering2% of their works
  6. 6Computational Mechanics2% of their works

Research topics

Which keywords describe Thomas S. Huang's research?

The keywords of their largest research topics: Deep Learning, Local Binary Patterns, Convolutional Neural Networks, Face Recognition, Feature Matching, Local Descriptors, Depth Estimation and Stereo Vision.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 20 words, with their numbers
  1. Deep Learning6974 topics
  2. Local Binary Patterns4172 topics
  3. Convolutional Neural Networks3823 topics
  4. Face Recognition3442 topics
  5. Feature Matching3151 topic
  6. Local Descriptors3151 topic
  7. Depth Estimation2311 topic
  8. Stereo Vision2311 topic
  9. Content-Based Image Retrieval2181 topic
  10. Shape Matching2181 topic
  11. Dimensionality Reduction1991 topic
  12. Feature Selection1991 topic
  13. Content-Based Retrieval1491 topic
  14. Video Summarization1491 topic
  15. Age Estimation1451 topic
  16. Facial Landmark Detection1451 topic
  17. Object Tracking1301 topic
  18. Visual Tracking1301 topic
  19. Image Denoising1071 topic
  20. Sparse Representations1071 topic

Where does Thomas S. Huang work?

Thomas S. Huang's main affiliation in the publication record is University of Illinois Urbana-Champaign, United States.

How many publications and citations does Thomas S. Huang have?

OpenAlex counts 1,394 works and 106,945 citations for Thomas S. Huang, an h-index of 143, ranking #27,828 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Thomas S. Huang

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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